A Swedish investigation and a new US class-action lawsuit allege Meta workers in Kenya viewed intimate Ray-Ban Meta footage ...

Where do AI systems lose confidence in your content? Discovery, selection, crawling, rendering, and indexing hold the answer.

Katelyn is a writer with CNET covering artificial intelligence, including chatbots, image and video generators. Her work explores how new AI technology is infiltrating our lives, shaping the content ...

What does it take to make a machine move in a way that people instantly recognize as natural? At Tesla, part of the answer has been a quiet, repetitive, and highly physical form of data work: humans ...

Stop Googling. The answer is staring you right in the face—you just have to read it.

In this article, we take a look at how the robots see the world around them, what it takes to train them for deployment, and ...

Meta’s approach to user privacy is under renewed scrutiny following a Swedish report that employees of a Meta subcontractor ...

The work, known as data labeling, is how Meta trains its computer vision systems. Each frame reviewed helps improve the algorithms powering its augmented reality assistant.

The automatic detection of surface-level irregularities—defects or anomalies—in 3D data is of significant interest for ...

Artificial intelligence systems are only as powerful as the data they are trained on. High-quality labeled datasets determine whether a model performs with precision or fails in production.

When we talk about artificial intelligence, most people immediately think of futuristic robots and self-driving cars. But here’s the truth I’ve learned over years of working with data and leading ...